DXA-derived hip shape is related to osteoarthritis: findings from in the MrOS cohort

Faber, Benjamin G; Baird, Denis; Gregson, Celia L; Gregory, Jennifer S.; Barr, Rebecca; Aspden, Richard M.; Lynch, J.A.; Nevitt, Michael C.; Lane, Nancy E.; Orwoll, Eric S.; Tobias, Jonathan H

doi:10.1016/j.joca.2017.09.006

Cited by 37 publications

(66 citation statements)

References 27 publications

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“…Although direct comparison of individual modes and scores cannot be made across cohorts, the magnitude of these differences is similar to that seen between healthy and clinical populations. For example, in a recent study using a similar SSM design, differences between cases and controls in hip shape modes associated with hip fracture were 0.21 for HM2 and 0.26 for HM4, whereas case‐control group differences in five hip shape modes associated with hip OA were 0.21 (HSM1), 0.31 (HSM3), 0.2 (HSM4), 0.24 (HSM8), and 0.19 (HSM10) …”

Section: Discussionmentioning

confidence: 94%

“…This is both a strength and a weakness of the method. Its strength is that it can detect and isolate coordinated changes so that certain modes become indicative of pathology and can be used as imaging biomarkers . The weakness, demonstrated here, is that the overall difference in shapes between early and late walkers, using all the modes in combination, is subtle, as indicated by the superimposed shapes in Fig .…”

Section: Discussionmentioning

confidence: 94%

“…Statistical shape modeling (SSM) of the hip has been developed to objectively describe this coordinated variation in multiple components of shape through a series of shape modes. These models are very sensitive; differences in mode scores of only 0.2 to 0.3 SD have been shown to discriminate between hip OA and hip fracture cases and controls. Furthermore, SSM has clinical utility in predicting hip OA progression and in improving prospective prediction of hip fracture when combined with BMD measurements .…”

Section: Introductionmentioning

confidence: 99%

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Age at Onset of Walking in Infancy Is Associated With Hip Shape in Early Old Age

Ireland

Saunders

Muthuri

et al. 2018

Journal of Bone and Mineral Research

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Bones’ shapes and structures adapt to the muscle and reaction forces they experience during everyday movements. Onset of independent walking, at approximately 12 months, represents the first postnatal exposure of the lower limbs to the large forces associated with bipedal movements; accordingly, earlier walking is associated with greater bone strength. However, associations between early life loading and joint shape have not been explored. We therefore examined associations between walking age and hip shape at age 60 to 64 years in 1423 individuals (740 women) from the MRC National Survey of Health and Development, a nationally representative British birth cohort. Walking age in months was obtained from maternal interview at age 2 years. Ten modes of variation in hip shape (HM1 to HM10), described by statistical shape models, were ascertained from DXA images. In sex‐adjusted analyses, earlier walking age was associated with higher HM1 and HM7 scores; these associations were maintained after further adjustment for height, body composition, and socioeconomic position. Earlier walking was also associated with lower HM2 scores in women only, and lower HM4 scores in men only. Taken together, this suggests that earlier walkers have proportionately larger (HM4) and flatter (HM1, HM4) femoral heads, wider (HM1, HM4, HM7) and flatter (HM1, HM7) femoral necks, a smaller neck‐shaft angle (HM1, HM4), anteversion (HM2, HM7), and early development of osteophytes (HM1). These results suggest that age at onset of walking in infancy is associated with variations in hip shape in older age. Early walkers have a larger femoral head and neck and smaller neck‐shaft angle; these features are associated with reduced hip fracture risk, but also represent an osteoarthritic‐like phenotype. Unlike results of previous studies of walking age and bone mass, associations in this study were not affected by adjustment for lean mass, suggesting that associations may relate directly to skeletal loading in early life when joint shape changes rapidly. © 2018 American Society for Bone and Mineral Research.

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Section: Discussionmentioning

confidence: 94%

Section: Discussionmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

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Age at Onset of Walking in Infancy Is Associated With Hip Shape in Early Old Age

Ireland

Saunders

Muthuri

et al. 2018

Journal of Bone and Mineral Research

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“…1.78 pixels, respectively. A cut off median point-to point difference of less than or equal to 3 was previously considered as accurate 7 . Whilst the initial model was based on a 58-point model, this was subsequently modified to a 53-point model due to high variability in points placed at the acetabular overhang and medial and lateral femoral shaft, in both adolescent and adult SSM templates.…”

Section: Statistical Shape Model (Ssm)mentioning

confidence: 99%

“…Intra-(within-) and inter-observer (between-observer) repeatability of manual point placement was measured as the difference in pixels between coordinates of 58 points. The intra-and inter-observer reliability assessed by mean point-to-point repeatability was 1.22 and published literature [7][8][9] the first 10 modes, which together explain 86% of variance in the adult SSM, were selected. Figure 2 and Figure 3 provide graphical representation and Table 4 provides summary of the features described by each HSM.…”

Section: Reproducibility Of Point Placementmentioning

confidence: 99%

Using statistical shape modelling of DXA images to quantify the shape of the proximal femur at ages 14 and 18 years in the Avon Longitudinal Study of Parents and Children

Frysz¹,

Gregory²,

Aspden³

et al. 2019

Wellcome Open Res

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Hip shape is an important determinant of hip osteoarthritis and osteoporotic hip fracture; however, little is known about its development in childhood and adolescence. While previous studies largely focused on individual geometrical indices of hip geometry such as neck-shaft angle or femoral neck width, statistical shape modelling offers the means to quantify the entire contour of the proximal femur, including lesser trochanter and acetabular eyebrow. We describe the derivation of independent modes of variation (hip shape mode scores) to characterise variation in hip shape from dual-energy X-ray absorptiometry (DXA) images in the Avon Longitudinal Study of Parents and Children (ALSPAC) offspring, using statistical shape modelling. ALSPAC is a rich source of phenotypic and genotypic data which provides a unique opportunity to investigate the environmental and genetic influences on hip shape in adolescence, as well as comparison with adult hip shape.

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Association of Bone Shape and Alignment Analyzed Using Statistical Shape Modeling With Severity of First Metatarsophalangeal Joint Osteoarthritis

Buldt,

Gregory,

Munteanu

et al. 2023

Arthritis Care & Research

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ObjectiveTo explore the relationship between bone shape and radiographic severity in individuals with first metatarsophalangeal joint osteoarthritis (first MTP joint OA).MethodsWeightbearing lateral and dorso‐plantar radiographs were obtained for the symptomatic foot of 185 participants (105 females, aged 22 to 85 years) with clinically diagnosed first MTP joint OA. Participants were classified into either none/mild, moderate, or severe categories using a standardised atlas. An 80‐point model for lateral radiographs and 77‐point model for dorso‐plantar radiographs was used to define independent modes of variation using statistical shape modelling software. Odds ratios adjusted for confounders were calculated using ordinal regression to determine the association between radiographic severity and mode scores.ResultsAfter assessment and grading of radiographs, 35 (18.9%) participants were included in the none/mild first MTP joint OA severity category, 69 (37.2%) in the moderate severity, and 81 (43.7%) in the severe category. For lateral view radiographs, 16 modes of variation were included, which collectively represented 83.2% of total shape variance. Of these, four modes were associated with radiographic severity. For dorso‐plantar view radiographs, 15 modes of variation were included, representing 82.6% of total shape variance. Of these, six modes were associated with radiographic severity.ConclusionsVariations in the shape and alignment of the medial cuneiform, first metatarsal, proximal and distal phalanx of the hallux are significantly associated with radiographic severity of first MTP joint OA. Prospective studies are required to determine whether bone shape characteristics are associated with the development and/or progression of this condition.

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DXA-derived hip shape is related to osteoarthritis: findings from in the MrOS cohort

Cited by 37 publications

References 27 publications

Age at Onset of Walking in Infancy Is Associated With Hip Shape in Early Old Age

Age at Onset of Walking in Infancy Is Associated With Hip Shape in Early Old Age

Using statistical shape modelling of DXA images to quantify the shape of the proximal femur at ages 14 and 18 years in the Avon Longitudinal Study of Parents and Children

Association of Bone Shape and Alignment Analyzed Using Statistical Shape Modeling With Severity of First Metatarsophalangeal Joint Osteoarthritis

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